83 parallel-and-distributed-computing Postdoctoral research jobs at Rutgers University
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. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and electrophoresis required. Experience in
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of Neurosurgery is seeking a graduate of a MD or PhD program preferably with a background in basic sciences, particularly in skull-based Neurosurgery. This individual will work under the supervision of Dr Anil
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capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT: Must be available to work flexible hours, including overtime on short notice and
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Must have the ability to work collaboratively and
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Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as